
Data Scientist
5 days ago
**Job Summary**:
We are looking for a highly skilled and experienced **Data Scientist** to join our growing analytics team. As a Data Scientist, you will be responsible for **extracting insights from large, complex datasets**, building **predictive and prescriptive models**, and helping to **drive data-driven decisions** across the organization. You will work closely with cross-functional teams to design experiments, prototype solutions, and implement algorithms that have a tangible impact on the business.
**Key Responsibilities**:
**Data Exploration & Analysis**:
- Understand business objectives and translate them into data science problems.
- Perform exploratory data analysis using statistical techniques and visualization tools.
- Analyze structured and unstructured data from multiple sources (databases, APIs, flat files, etc.).
**Model Development**:
- Build and validate machine learning and statistical models (classification, regression, clustering, NLP, time-series, etc.).
- Optimize model performance using feature engineering, hyperparameter tuning, and model selection techniques.
- Use ML Ops tools for model deployment and monitoring in production environments.
**Business & Stakeholder Collaboration**:
- Collaborate with business stakeholders, analysts, engineers, and product teams to gather requirements and present findings.
- Translate complex analytical concepts into business-friendly language.
- Support experimentation and A/B testing frameworks.
**Data Engineering Support**:
- Work with data engineers to define data pipelines and ensure high data quality.
- Write efficient, reusable, and modular code in Python, SQL, or Spark.
- Assist in creating and maintaining data lakes, feature stores, or model registries.
**Documentation & Reporting**:
- Maintain detailed documentation of methodologies, models, assumptions, and results.
- Create dashboards and reports to communicate key insights to stakeholders.
**Required Skills & Qualifications**:
- Bachelor’s/Master’s/Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or related field.
- 2-3 years of hands-on experience in a data science or machine learning role.
- Proficiency in **Python** or **R**, and SQL. Experience with frameworks like **scikit-learn, TensorFlow, PyTorch**, or **XGBoost**.
- Strong grasp of statistical modeling, hypothesis testing, and machine learning algorithms.
- Experience with **data wrangling** using tools like Pandas, Spark, or Dask.
- Exposure to **cloud platforms** like AWS, GCP, or Azure.
- Familiarity with **version control** (Git), CI/CD, and containerization (Docker) is a plus.
- Excellent problem-solving and communication skills.
**Preferred Qualifications**:
- Experience with **time-series forecasting**, **natural language processing**, or **computer vision**.
- Understanding of **big data platforms** (Hadoop, Hive, Presto).
- Knowledge of **ML Ops frameworks** like MLflow, Kubeflow, or SageMaker.
- Prior experience in domains like **retail, finance, healthcare, automobile, or marketing analytics**.
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